We propose to strengthen Popper's notion of falsifiability by adding the requirement that when an observation is inconsistent with a theory, there must be a "short proof" of this inconsistency. We model the concept of a short proof using tools from computational complexity, and provide some examples of economic theories that are falsifiable in the usual sense but not with this additional requirement. We consider several variants of the de nition of "short proof" and several assumptions about the difficulty of computation, and study their different implications on the falsifiability of theories. JEL Classification: B400
|Date of creation:||11 Apr 2013|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://www.kellogg.northwestern.edu/research/math/
More information through EDIRC
|Order Information:|| Email: |
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Christopher P. Chambers & Federico Echenique & Eran Shmaya, 2014. "The Axiomatic Structure of Empirical Content," American Economic Review, American Economic Association, vol. 104(8), pages 2303-19, August.
- Thomas DEMUYNCK, 2011.
"The computational complexity of rationalizing Pareto optimal choice behavior,"
Center for Economic Studies - Discussion papers
ces11.13, Katholieke Universiteit Leuven, Centrum voor Economische Studiën.
- Thomas Demuynck, 2014. "The computational complexity of rationalizing Pareto optimal choice behavior," Social Choice and Welfare, Springer, vol. 42(3), pages 529-549, March.
- Gil Kalai & Ariel Rubenstein & Ran Spiegler, 2001.
"Rationalizing Choice Functions by Multiple Rationales,"
Economics Working Papers
0010, Institute for Advanced Study, School of Social Science.
- Gil Kalai & Ariel Rubinstein & Ran Spiegler, 2002. "Rationalizing Choice Functions By Multiple Rationales," Econometrica, Econometric Society, vol. 70(6), pages 2481-2488, November.
- Gil Kalai & Ariel Rubinstein & Ran Spiegler, 2001. "Rationalizing Choice Functions by Multiple Rationales," Discussion Paper Series dp278, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
- Thomas DEMUYNCK, 2010. "The computational complexity of boundedly rational choice behavior," Center for Economic Studies - Discussion papers ces10.23, Katholieke Universiteit Leuven, Centrum voor Economische Studiën.
- Lance Fortnow & Rakesh V. Vohra, 2009. "The Complexity of Forecast Testing," Econometrica, Econometric Society, vol. 77(1), pages 93-105, 01.
- Apesteguia, Jose & Ballester, Miguel A., 2010. "The Computational Complexity of Rationalizing Behavior," Journal of Mathematical Economics, Elsevier, vol. 46(3), pages 356-363, May.
When requesting a correction, please mention this item's handle: RePEc:nwu:cmsems:1564. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Fran Walker)
If references are entirely missing, you can add them using this form.